{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-07-14T15:34:17.329770Z",
     "start_time": "2024-07-14T15:34:17.304157Z"
    }
   },
   "source": [
    "#进行数据预处理\n",
    "import  pandas as pd\n",
    "from sklearn.preprocessing import  LabelEncoder,StandardScaler\n",
    "import csv\n",
    "df=pd.read_csv('Asia towers.csv')\n",
    "\n",
    "#处理缺省值\n",
    "df.fillna('unknown',inplace=True)\n",
    "categorical_columns =[]\n",
    "with open('Asia towers.csv', 'r') as file:\n",
    "    csv_reader=csv.reader(file)\n",
    "    header=next(csv_reader)\n",
    "    categorical_columns.append(header)\n",
    "print (categorical_columns)\n",
    "\n",
    "label_encoders={}\n",
    "\n",
    "uniques={}\n",
    "\n",
    "mapping={}\n",
    "for col in categorical_columns:\n",
    "    uniques[col] = df[col].unique()\n",
    "\n",
    "for col in categorical_columns:\n",
    "    le=LabelEncoder()\n",
    "    df[col] = le.fit_transform(df[col])\n",
    "    label_encoders[col]=le\n",
    "    mapping[col] = dict(zip(le.transform(le.classes_),le.classes_))\n",
    "    for a,b in mapping[col].items():\n",
    "        print(f'{col}: {b} -> {a}')\n",
    "# 标准化数值变量\n",
    "scaler = StandardScaler()\n",
    "numerical_columns = ['Age', 'Year', 'Month']\n",
    "df[numerical_columns] = scaler.fit_transform(df[numerical_columns])"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hospitalised: no -> 0\n",
      "Hospitalised: yes -> 1\n",
      "Died: no -> 0\n",
      "Died: yes -> 1\n",
      "Urban: no -> 0\n",
      "Urban: unknown -> 1\n",
      "Urban: yes -> 2\n",
      "Sex: female -> 0\n",
      "Sex: male -> 1\n",
      "Education: Secondary -> 0\n",
      "Education: Tertiary -> 1\n",
      "Education: iliterate -> 2\n",
      "Education: primary -> 3\n",
      "Education: unknown -> 4\n",
      "Occupation: business/service -> 0\n",
      "Occupation: farming -> 1\n",
      "Occupation: household -> 2\n",
      "Occupation: others -> 3\n",
      "Occupation: others/unknown -> 4\n",
      "Occupation: professional -> 5\n",
      "Occupation: retiree -> 6\n",
      "Occupation: student -> 7\n",
      "Occupation: unemployed -> 8\n",
      "Occupation: worker -> 9\n",
      "method: Cutting -> 0\n",
      "method: Drowning -> 1\n",
      "method: Hanging -> 2\n",
      "method: Jumping -> 3\n",
      "method: Other poison -> 4\n",
      "method: Others -> 5\n",
      "method: Pesticide -> 6\n",
      "method: Poison unspec -> 7\n",
      "method: unspecified -> 8\n"
     ]
    }
   ],
   "execution_count": 40
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-07-15T05:34:40.555303Z",
     "start_time": "2024-07-15T05:33:56.929259Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import  pandas as pd\n",
    "from sklearn.preprocessing import  LabelEncoder,StandardScaler\n",
    "import csv\n",
    "df=pd.read_csv('Asia towers.csv')\n",
    "\n",
    "#处理缺省值\n",
    "df.fillna('unknown',inplace=True)\n",
    "categorical_columns =[]\n",
    "with open('Asia towers.csv', 'r') as file:\n",
    "    csv_reader=csv.reader(file)\n",
    "    header=next(csv_reader)\n",
    "    categorical_columns.append(header)\n",
    "print (categorical_columns)"
   ],
   "id": "4f64156ad0b8624b",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\WPP-JKW\\AppData\\Local\\Temp\\ipykernel_21084\\1488083861.py:4: DtypeWarning: Columns (16) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  df=pd.read_csv('Asia towers.csv')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['', 'radio', 'MCC', 'MNC', 'TAC', 'CID', 'unit', 'LON', 'LAT', 'RANGE', 'SAM', 'changeable', 'created', 'updated', 'averageSignal', 'Country', 'Network', 'Continent']]\n"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-07-14T14:17:00.510612Z",
     "start_time": "2024-07-14T14:16:58.852232Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 选取典型特征\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# 计算特征相关性\n",
    "corr = df.corr()\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.heatmap(corr, annot=True, cmap='coolwarm')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "import pandas as pd\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 假设 df 是经过前面处理后的数据框\n",
    "\n",
    "# 准备特征和目标变量\n",
    "X = df.drop(columns=['Died','Hospitalised','Person_ID'])  # 请替换 'target_column' 为你的目标变量列名\n",
    "y = df['Died']\n",
    "\n",
    "# 使用逻辑回归模型进行特征重要性评估\n",
    "model = LogisticRegression(max_iter=1000)  # 可根据需要调整 max_iter 参数\n",
    "model.fit(X, y)\n",
    "\n",
    "# 获取特征重要性系数的绝对值\n",
    "feature_importance = abs(model.coef_[0])\n",
    "\n",
    "# 可视化特征重要性\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.barh(X.columns, feature_importance)\n",
    "plt.xlabel('Feature Importance')\n",
    "plt.ylabel('Features')\n",
    "plt.title('Feature Importance Evaluation')\n",
    "plt.gca().invert_yaxis()  # 反转y轴，让重要性高的特征显示在顶部\n",
    "plt.show()"
   ],
   "id": "9011f152543fc5f9",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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bKlGihKZPn257MmtK+v4kV65cUfv27Z+4fPXq1bZ7CE0mk0JDQ/XZZ5/ZnqyaZMiQIUpMTNT06dOVkJAgHx8f9erVSydOnNDWrVsfuaxYevAfHD7++GNNmTJFffr0UZEiRdS3b1/b12JID54QOmLECC1atEjffPON8ufPr6pVqyoiIkJ9+vTRjz/+qLp166p169b673//qz59+ig8PPyRh/6UKVNGy5cv19SpUzVs2DC5uLgoICBAS5YssT2NFADSCxcrdyYDAPDcoqKi9Prrr2vJkiWqWrWqs8sBAOCpuEcQAAAAAAyGIAgAAAAABsOloQAAAABgMJwRBAAAAACDIQgCAAAAgMEQBAEAAADAYPgewQzOYrHo/v37cnV1lYuLi7PLAQAAAOAkVqtVFotFbm5ucnV9+jk/gmAGd//+fUVHRzu7DAAAAADphL+/vzw8PJ66DkEwg0tK+n5+fn/bbGQOZrNZ0dHR8vf3l8lkcnY5SGP023joufHQc+Oh58biyH4nbevvzgZKBMEML+lyUJPJxC8Sg6HnxkK/jYeeGw89Nx56biyO7HdKbhnjYTEAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDBOCYIhISFau3btI/PXrl2rkJAQJ1SU+nx9fRUVFZWida9du6bevXsrODhYVatW1bhx43T//v00rhAAAACAUXFGMB145513lD17du3cuVOrV6/W3r17tXjxYmeXBQAAACCTSrdB8Pz58/L19dWqVasUEhKiSpUqqXv37rp48aKkB2cP//GPf2js2LGqVq2aqlevrvfff1+JiYmSpNjYWA0fPlyvvvqqAgMDVbt2bc2ZM8c2fkhIiBYtWqTmzZurQoUK+sc//qFffvlFb731loKCgvTaa6/pyJEjtvX37NmjsLAwBQcHKzQ0VOvXr7ctS0xM1Pjx41W1alVVq1ZN8+fPT7Yvc+bMUWho6GP388yZM9q3b5/+9a9/KVu2bCpatKh69+6tZcuWpdqxBAAAAICHuTm7gL+zfft2ff3110pISFD37t31ySefaPTo0ZKkgwcPqk6dOtq5c6d+/fVXde3aVTVq1FBoaKgmT56s8+fPa/Xq1XrhhRf07bffKjw8XE2aNFHx4sUlSatWrdLChQvl6empNm3aqEuXLlqwYIHKlSun9957T5MnT9aSJUv022+/qVevXvroo4/UoEED/fTTT+rdu7fy5Mmj2rVr65NPPtH27du1evVq5cuXTx988EGyfejZs6d69uz52P37/ffflTt3bhUsWNA2r1SpUrpw4YJu3bqlnDlzpug4WSwWmc3mZzjCyGiS+ky/jYF+Gw89Nx56bjz03Fgc2W97tpHug+Bbb71lC0MhISE6dOiQbVnWrFnVs2dPubi4KCAgQL6+vvrf//4nSerXr59MJpM8PT118eJFZcmSRZJ0+fJlWxBs06aNvL29JUkBAQGKjY1VUFCQJKlWrVqaPXu2JGnFihVq0KCBXn31VUlSxYoV1a5dOy1btky1a9fWunXr1LNnTxUtWlSSNHz48GRnDJ/mzp07ypYtW7J5SdN3795NcRA8efKk4uPjU7QuMofo6GhnlwAHot/GQ8+Nh54bDz03lvTWb6cEQQ8Pj8emVbPZLA8Pj2Tz8ufPb3vt5uYmq9Vqm86XL59cXFxs0+7u7rbl165d07hx43T06FH5+PiofPnykh6cOUuSO3du22uTyaRcuXLZpl1dXW1jxcTE6IcfflBwcHCyWosVKybpQbgsVKiQbVnOnDmTjfU02bNnV1xcXLJ5SdM5cuRI0RjSg7OI7u7uKV4fGZfZbFZ0dLT8/f1lMpmcXQ7SGP02HnpuPPTceOi5sTiy30nbSgmnBMFChQopJibmkflnzpxRkSJFUmUb/fv3V0hIiBYsWCA3NzfduHFDX375ZbJ1Hg6RT+Pt7a1WrVrZLkmVHoS/pKDo7e2tc+fO2ZbdvXtXt2/fTtHYZcqU0Z9//qmrV6/aQu/Jkyfl7e2tF154IUVjSA+CK79IjMVkMtFzA6HfxkPPjYeeGw89N5b01m+nPCymRYsW+uKLL7R7925ZLBYlJCRox44dWrVqlVq3bp0q27h9+7ayZs0qk8mk69eva+zYsZJke5iMPcLCwrRhwwbt2rVLFotFp0+fVufOnbVw4UJJUtu2bTV//nydPHlS9+7d04QJE1J8fe6LL76oSpUq6cMPP1RsbKzOnTunTz75RGFhYXbXCQAAAAAp4ZQzgi1btlRiYqImT56ss2fPymKxqESJEho2bNgTn65pr/Hjx+vDDz/UwoULlStXLr322mvy8/PT8ePHVatWLbvGqlChgqZOnaqpU6eqf//+ypYtm5o2baqBAwdKenAfY1xcnDp37qz79++rXbt2yS47nTNnjiIjI7Vx48bHjv/xxx9r9OjRatCggVxdXdWyZUv17t37mfcdAAAAAJ7GxfrwTXfIcMxmsw4fPix/f/9H7q9E5pTU88DAwHR1eQHSBv02HnpuPPTceOi5sTiy3/ZsK91+jyAAAAAAIG0QBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQBAAAAACDIQgCAAAAgMEQBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQBAAAAACDIQgCAAAAgMEQBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAyGIAhkQNmyZXN2CQAAAMjA3JxdAFKHyWRydglwEJPJJD8/P2eXkSmYLVaZXF2cXQYAAIDDEQQzicFrftKvF+84uwwgwyhdwFMzOgQ5uwwAAACnIAhmEqeu3NEvF245uwwAAAAAGQD3CAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGILgQ0JCQrR27dpH5q9du1YhISGPfc/MmTPVpUuXtC4NAAAAAFINQRAAAAAADIYgaIfz58/L19dXEyZMUOXKlTVq1ChJ0t27dzVkyBBVrVpVTZo00ddff217z6VLl/TOO+8oJCREFSpUUIMGDbR69Wrbcl9fXy1dulSNGjVSUFCQOnTooGPHjjl61wAAAAAYiJuzC8iI7ty5o927dys+Pl6fffaZfv75Z7Vq1UpjxozRvn371KNHD/n4+Cg4OFjDhw9X7ty5tXHjRnl4eGjJkiUaM2aMmjRpohw5ckiSNm7cqM8//1xZs2ZVeHi4Jk2apAULFjh5LwFjMJvNzi7hqZLqS+91IvXQc+Oh58ZDz43Fkf22ZxsEwWfQsmVLeXh4yMPDQ5L08ssvq3PnzpKkmjVrqlGjRlq3bp2Cg4M1duxY5ciRQ+7u7rpw4YJy5Mih+Ph43bx50xYEu3TpIi8vL0lSkyZNNHfuXOfsGGBAx44dU1xcnLPL+FvR0dHOLgEORs+Nh54bDz03lvTWb4LgQzw8PB6bos1msy30SVKBAgWSLffx8Uk2XahQIR0/flySdO7cOU2aNEmnT5/Wiy++qOLFi0uSLBaLbf38+fPbXru5uclqtT7/zgBIEV9fX2eX8FRms1nR0dHy9/eXyWRydjlwAHpuPPTceOi5sTiy30nbSgmC4EMKFSqkmJiYR+afOXNGRYoUsU27uLgkW3758uVk0+fOnVORIkWUmJioHj16aODAgerYsaNcXFz0888/a/369WmzAwDsllH+D9hkMmWYWpE66Lnx0HPjoefGkt76zcNiHtKiRQt98cUX2r17tywWixISErRjxw6tWrVKrVu3fuL7jhw5ojVr1igxMVHbtm3T1q1b1bZtWyUmJio+Pl5Zs2aVi4uLLly4oI8++kiSlJiY6KjdAgAAAIBkOCP4kJYtWyoxMVGTJ0/W2bNnZbFYVKJECQ0bNkyhoaE6f/78Y99Xo0YNff/99xo7dqx8fHw0Y8YM+fn5SZI+/PBDzZgxQ2PHjlW+fPnUrl07nThxQsePH1eJEiUcuXsAAAAAIIkg+Ii2bduqbdu2j13m4+PzyFc79OvX76njtWjRQi1atEg27+2337a9/ut4rVu3furZRwAAAAB4XlwaCgAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBg3JxdAFJHSa8cumd2dhVAxlG6gKezSwAAAHAagmAmMbFNBZlMJmeXAWQoZotVJlcXZ5cBAADgcFwamkmYzZwONAqz2ayjR4/S81RACAQAAEZFEAQyoLi4OGeXAAAAgAyMIAgAAAAABkMQBAAAAACDIQgCAAAAgMEQBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIJABZcuWzdklwIHoNwAASG1uzi4AqcNkMjm7BDiIyWSSn5+fs8uAg9Dv1Ge2WGVydXF2GQAAOBVBMJMYvOYn/XrxjrPLAIB0rXQBT83oEOTsMgAAcDqCYCZx6sod/XLhlrPLAAAAAJABcI8gAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxC0wwcffKCaNWvq2rVryebfv39f7dq1U48ePWS1Wp1UHQAAAACkDEHQDkOHDlX+/Pk1dOjQZPNnzpypq1evauLEiXJxcXFSdQAAAACQMgRBO2TJkkXTpk3T/v37tXTpUknSvn37tHjxYk2fPl23bt1Sz549VbVqVdWvX1/Tpk1TQkKCJMlqterTTz9Vs2bNFBwcrMqVK2vQoEGKj4+XJA0ZMkTh4eFq0qSJqlWrprNnzzptPwEAAABkbgRBO5UsWVIjRozQlClT9Ouvv2rIkCF67733VLp0aXXr1k1lypTRjh07tHz5cu3Zs0czZ86UJG3evFlLlizRzJkzdeDAAa1YsUK7du1SZGSkbeydO3dqxowZ+vbbb1WsWDFn7SIAAACATM7N2QVkRK1atdLevXvVoUMHNWzYUJ06ddKmTZuUkJCggQMHysXFRYUKFVL//v0VHh6uQYMGqU6dOqpYsaK8vb11/fp13bhxQ7lz59alS5ds4wYGBqps2bJO3DMAMAaz2ezsEp4oqbb0XCNSFz03HnpuLI7stz3bIAg+o759+2rdunXq37+/JCkmJkbXr19X5cqVbetYrVYlJibq2rVr8vDw0LRp07Rt2zblzZtXL7/8shITE5M9XKZAgQIO3w8AMKJjx44pLi7O2WU8VXR0tLNLgIPRc+Oh58aS3vpNEHxGrq6uyf7X29tbxYoV0zfffGNbJzY2VteuXVPevHn1wQcf6MKFC9q6das8PT0lSc2aNUs2Jg+aAQDH8PX1dXYJT2Q2mxUdHS1/f3+ZTCZnlwMHoOfGQ8+NxZH9TtpWShAEU0n9+vU1adIkzZ8/X6+//rri4+M1dOhQ/fHHH1q7dq1iY2OVJUsWmUwm3bt3T8uWLdPx48dVv359Z5cOAIaTEf7wMplMGaJOpB56bjz03FjSW795WEwq8fT01OLFixUVFaU6deqoYcOGcnV11ezZsyVJ77zzjuLj41WjRg2FhITo8OHDatGihY4fP+7kygEAAAAYDWcEn5GPj4+OHTuWbF6pUqU0b968x65ftGhRff75508cb8KECalaHwAAAAA8CWcEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADMbN2QUgdZT0yqF7ZmdXAQDpW+kCns4uAQCAdIEgmElMbFNBJpPJ2WUAQLpntlhlcnVxdhkAADgVl4ZmEmYzpwONwmw26+jRo/TcIOh36iMEAgBAEAQypLi4OGeXAAei3wAAILURBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQzCSe9mXyZovVgZUAAAAASO/cnF0AUsfgNT/p14t3HplfuoCnZnQIckJFAAAAANIrgmAmcerKHf1y4ZazywAAAACQAXBpKAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQBAAAAACDIQgCAAAAgMEQBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQdIJ79+7p4sWLzi4DAAAAgEERBP8/X19f+fr66tSpU48sW7RokXx9fTVz5sxU2VbHjh21Z88eSVJUVJR8fX1TZVwAAAAASAmC4EPy5Mmjr7766pH5a9eulaenZ6pt58aNG6k2FgAAAADYiyD4kGbNmmndunWyWCy2eUeOHFFCQoL8/Pxs8ywWiz799FM1bNhQlSpVUlhYmHbu3GlbHhISorlz56ply5YKCgpSy5Yt9cMPP0iS3njjDV24cEEjR47U6NGjbe9ZsGCBXnnlFQUGBio8PFyxsbEO2GMAAAAARkQQfEi9evWUmJhou2xTklavXq2wsLBk682aNUvLli3TjBkzFBUVpTfeeEO9e/fWkSNHbOusWbNGM2bM0J49e/TSSy/pgw8+kCQtXLhQhQsX1qhRozRixAjb+jExMdqwYYO2bNmiw4cPa9myZWm7swAAAAAMy83ZBaQnbm5uatasmb766ivVqlVL8fHx2rJlizZs2KAdO3bY1luzZo3efvttlStXTpL02muvacuWLVq9erUCAgIkSWFhYSpevLikB2cav/7666duu1+/fsqSJYsKFiyoypUr6+zZs6m6b2azOVXHg/Mk9ZKeGgP9Nh56bjz03HjoubE4st/2bIMg+BetW7dW+/btFRsbq++++04VK1aUl5dXsnWuXr2qokWLJpvn4+Oj3377zTadP39+22s3NzdZrdanbjdPnjy21+7u7qn+QTl27Jji4uJSdUw4V3R0tLNLgAPRb+Oh58ZDz42HnhtLeus3QfAvXnrpJZUsWVKbN29WZGSkunbt+sg6RYoU0blz55LNO3funAoUKOCoMu3Gk0kzD7PZrOjoaPn7+8tkMjm7HKQx+m089Nx46Lnx0HNjcWS/k7aVEgTBx2jdurUWL16sW7duqW7duo8sb9u2rT799FMFBgbqpZde0rfffqutW7dq4cKFKRrfw8NDt2/fTu2yn4pfMpmPyWSirwZCv42HnhsPPTceem4s6a3fBMHHaNq0qSZOnKiuXbvKze3RQ9S9e3dZLBYNGDBAV65cUfHixTV16lRVqVIlReOHhYVp2rRpio6OVtu2bVO7fAAAAAB4KoLg/3fs2DHb6zx58ujnn39Otnzp0qW21yaTSW+//bbefvvtx461devWZNNVq1ZNNv4///lP/fOf/3zstiVpwoQJ9u8AAAAAAKQQXx8BAAAAAAZDEAQAAAAAgyEIAgAAAIDBEAQBAAAAwGAIggAAAABgMARBAAAAADAYgiAAAAAAGAxBEAAAAAAMhiAIAAAAAAZDEAQAAAAAgyEIAgAAAIDBEAQBAAAAwGAIggAAAABgMG7OLgCpo6RXDt0zPzq/dAFPxxcDAAAAIF0jCGYSE9tUkMlkeuwys8Uqk6uLgysCAAAAkF5xaWgmYTY/5nTg/0cIBAAAAPAwgiAAAAAAGAxBEAAAAAAM5rmD4MmTJ3Xp0qXUqAUAAAAA4AB2B8GDBw+qZcuWkqQVK1YoNDRUDRo00HfffZfatQEAAAAA0oDdTw2dMmWK6tWrJ6vVqrlz52rChAnKnTu3pkyZooYNG6ZFjQAAAACAVGT3GcFTp06pf//+OnXqlK5evarXXntN9erV0/nz59OiPgAAAABAKrM7CJpMJt25c0c7duxQYGCgPDw8FBMTI09PvrgccJRs2bI5uwQ4EP02HnoOAEhrdl8a2rBhQ3Xu3FkxMTEaPny4Tpw4oT59+qhp06ZpUR9S6ElfJo/Mx2Qyyc/Pz9llwEHot/FkhJ6bLVa+oxYAMji7g+C///1vrVu3TlmzZtVrr72m06dPq0OHDnr99dfToj6k0OA1P+nXi3ecXQYAIJMrXcBTMzoEObsMAMBzsjsImkwmtW7dWjdv3tTPP/8sPz8/derUiTNSTnbqyh39cuGWs8sAAAAAkAHYfY/gnTt3NGjQIFWtWlWdO3fW6dOn9corr+jUqVNpUR8AAAAAIJXZHQQnTZqku3fvavPmzXJ3d1fRokVVv359jRs3Li3qAwAAAACkMrsvDd22bZsiIyOVK1cuubi4yN3dXUOGDFGdOnXSoj4AAAAAQCqz+4ygxWKRh4eHJMlqtT4yDwAAAACQvtkdBKtVq6bRo0crLi5OLi4PHh09ffp0ValSJdWLAwAAAACkPruD4NChQ3Xy5ElVrlxZt2/fVlBQkPbv36/BgwenRX0AAAAAgFRm9z2Cd+/e1cqVKxUdHa2YmBh5e3srICCAr48AAAAAgAzC7iDYvn17ffvttwoICFBAQEBa1AQAAAAASEN2XxqaO3duXbp0KS1qAQAAAAA4gN1nBMuUKaN27dopMDBQBQoUSLZs/PjxqVYYAAAAACBt2B0Es2fPrldffTUtagEAAAAAOIDdQZCzfgAAAACQsdkdBCMiIp64rG/fvs9VTEZ18+ZNTZs2Tdu2bdPNmzfl6empmjVrasCAAfL29nZ2eQAAAACQjN1BMCoqKtn0n3/+qZMnT6px48apVlRGM2DAAL3wwgtavXq1vLy8dPXqVY0bN07du3dXZGSk3NzsPswAAAAAkGbsfmro0qVLk/1ERkZq/Pjxypo1a1rUlyH8+OOPeuWVV+Tl5SVJyp8/v4YNG6YKFSro1q1bio2N1ejRo1W3bl1Vr15dAwYM0NWrVyVJGzduVPny5fXbb79Jko4ePaqAgADt2LHDafsDAAAAIHNLlVNVLVq00IcffpgaQ2VIoaGhGjlypA4cOKAqVaqoQoUKKlKkiCZMmCBJCg8P1507d7R27VplzZpVEyZMUN++ffXFF18oNDRUu3bt0nvvvaelS5dqwIAB6tatm+rUqePkvQIA4MnMZrOzS8g0ko4lx9Q46LmxOLLf9mzDxWq1Wp93g/v27dPgwYO1bdu25x0qQ7JYLIqMjNSmTZv0448/6vbt2ypWrJj69eunmjVrqkaNGtq8ebNKliwpSYqLi1NwcLBWrlyp8uXL6+7du2rdurUSEhJUuHBhffbZZzKZTCnattls1uHDhzXuh7s6eO5WWu4mAAAqVzinNobX1tGjRxUXF+fscgAAjxEYGPi3ecLuM4IhISFycXGxTScmJurq1avq1auX/RVmEq6urmrRooVatGghq9WqkydPat26dXrvvfc0cOBASVK7du2SvcdkMun8+fMqX768smfPrjZt2mjy5Mnq06dPikMgAADO4uvr6+wSMg2z2azo6Gj5+/vzN4BB0HNjcWS/k7aVEnYHwX79+iWbdnV1ValSpVS+fHl7h8oUdu7cqfDwcG3btk25c+eWi4uLSpcurUGDBmn37t1KSEiQJG3evNl2D6EknThxQkWLFpUknT17VrNnz1bbtm01adIk1axZk6eNAgDSNf54TX0mk4njajD03FjSW7/tfljM9evX1apVK9tPixYtVL58eU2fPj0Nykv/KleurHz58mno0KE6duyYEhMTFRsbq/Xr1+v06dNq0qSJ6tWrp3HjxunGjRtKTEzU7NmzFRYWplu3bikxMVEDBw5UaGioxo4dq8qVK+tf//qXLBaLs3cNAAAAQCaVojOC169f18mTJyVJM2fOVIUKFfTwrYW3b9/WZ599pnfeeSdNikzPsmbNquXLlysiIkK9evXStWvX5O7ursDAQC1atEilSpXSpEmTNGXKFLVs2VKxsbEqU6aM5s+fLy8vL02ePFk3btzQkCFDJEmjR49WaGio5s6da+jLbQEAAACknRQFQQ8PD4WHh+vGjRuSpM6dOz+yvH379qlfXQZRoEABjR49+onLc+XK9cTl7777rt59913bdN68ebV3795UrxEAAAAAkqQoCHp6etrCSePGjfXNN9+kaVEAAAAAgLRj9z2CTwqB169ff+5iAAAAAABpz+6nhh45ckSTJk3SpUuXbA80SUxM1PXr1/Xzzz+neoEAAAAAgNRl9xnB0aNHy8vLS7Vq1VKJEiXUuXNnmUwmDRo0KC3qAwAAAACkMruD4O+//67x48erU6dOMpvN6t69u6ZNm6bIyMi0qA8AAAAAkMrsDoI5c+ZU1qxZVbRoUf3++++SpMDAQMXExKR6cQAAAACA1Gd3ECxZsqS++OILZcmSRdmzZ9evv/6qkydPysXFJS3qAwAAAACkMrsfFtO/f3/16tVLNWvW1Jtvvql27drJZDLpH//4R1rUBwAAAABIZXYHwYoVK2rHjh3y8PBQsWLF9PLLL+v27duqWbNmWtQHAAAAAEhldgdBSXJxcdF3332nmJgYtW/fXmfOnEntugAAAAAAacTuIHj27Fm98cYbSkxM1K1bt1S3bl21adNGERERql+/flrUCAAAAABIRXY/LGbcuHFq3bq1tm/fLjc3N5UoUUJjx47Vxx9/nBb1AQAAAABSmd1nBA8fPqyZM2fKxcXF9qTQFi1aaNy4caleHFKupFcO3TM7uwoAQGZXuoCns0sAAKQCu4PgCy+8oKtXr6pw4cK2eVeuXFGuXLlStTDYZ2KbCjKZTM4uAwBgAGaLVSZXvjYKADIyuy8Nbdasmfr27avdu3fLYrHoyJEjevfddxUaGpoW9SGFzGZOBxqF2WzW0aNH6blB0G/jyQg9JwQCQMZn9xnB3r17Kz4+Xn379lVcXJxef/11hYWFqW/fvmlRH4DHiIuLc3YJcCD6bTz0HACQ1lIcBN98800tWLBA7u7uGjx4sMLDwxUXF6c8efLY7hUEAAAAAKR/Kb409NChQ8mm69atq7x58xICAQAAACCDsfsewSRWqzU16wAAAAAAOMgzB0HOBAIAAABAxvTMQRAAAAAAkDGl+GEx9+/f19dff22bTkxMTDYtSS1btkylsgAAAAAAaSXFQTB//vz6+OOPbdN58uRJNu3i4kIQBBwkW7Zszi4BDkS/jYeeGw89Nx56DmdLcRDcunVrWtaB52QymZxdAhzEZDLJz8/P2WXAQei38dBz46HnxkPPMw+zxSqTa8Z8dordXyiP9Gnwmp/068U7zi4DAAAAMITSBTw1o0OQs8t4ZgTBTOLUlTv65cItZ5cBAAAAIAPgqaEAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgmIqWLVsmX19fLV682NmlAAAAAMATEQRT0bJly/SPf/xDS5Ys0f37951dDgAAAAA8FkEwlezdu1fXrl3TkCFDZLFYtGXLFtuyGzduaMCAAapUqZIaNGigpUuXys/PT+fPn5cknT17Vj179lTVqlVVv359TZs2TQkJCc7aFQAAAACZHEEwlSxdulTt2rVT1qxZ1bFjRy1cuNC27N1339Xt27f1/fffa9WqVdq2bZvMZrMk6e7du+rWrZvKlCmjHTt2aPny5dqzZ49mzpzprF0BAAAAkEJms/lvf1K6Xmr8pJRbWh0QI4mJidHOnTs1YsQISVK7du00a9Ys7du3T8WLF9euXbu0efNm5c6dW5I0bNgwhYaGSpK2b9+uhIQEDRw4UC4uLipUqJD69++v8PBwDRo0yFm7BAAAACAFjh07pri4uL9dLzo62gHVpBxBMBUsX75c9+/fV4sWLWzz7t+/r4ULF6pnz56SJB8fH9uyokWL2l7HxMTo+vXrqly5sm2e1WpVYmKirl27pnz58jlgDwAAAAA8C19f36cuN5vNio6Olr+/v0wmU5rWkrStlCAIPqd79+5p9erVGjdunGrUqGGbf/z4cb399tvq0aOHpAeBr0SJErbXSby9vVWsWDF98803tnmxsbG6du2a8ubN66C9AAAAAPAsUhruTCZTmgdBe3CP4HOKjIyUi4uLmjVrJm9vb9tPnTp1VLZsWa1du1b169fXRx99pJs3b+rmzZuaNGmS7f3169fXnTt3NH/+fCUkJOjWrVsaPHiwBgwYIBcXFyfuGQAAAIDMiiD4nJYvX65mzZrJ3d39kWXt27fXunXrNG7cOLm4uKhevXpq1aqV/Pz8JEnu7u7y9PTU4sWLFRUVpTp16qhhw4ZydXXV7NmzHb0rAAAAAAyCS0Of09q1a5+4rFOnTurUqZN2796tKVOmKGvWrJIe3FA6e/Zs28NjSpUqpXnz5jmiXAAAAADgjKAjTJw4UbNnz9b9+/cVGxur2bNnq0aNGsqSJYuzSwMAAABgQARBB5gyZYoOHz6satWqKSQkRCaTKdl9ggAAAADgSFwa6gBlypTRZ5995uwyAAAAAEASZwQBAAAAwHAIggAAAABgMARBAAAAADAYgiAAAAAAGAxBEAAAAAAMhiAIAAAAAAZDEAQAAAAAgyEIAgAAAIDBEAQBAAAAwGDcnF0AUkdJrxy6Z3Z2FQAAAIAxlC7g6ewSngtBMJOY2KaCTCaTs8sAAAAADMNsscrk6uLsMp4Jl4ZmEmYzpwONwmw26+jRo/TcIOi38dBz46HnxkPPM4+MGgIlgiCQIcXFxTm7BDgQ/TYeem489Nx46DmcjSAIAAAAAAZDEAQAAAAAgyEIAgAAAIDBEAQBAAAAwGAIggAAAABgMARBAAAAADAYgiCQAWXLls3ZJcCB6Lfx0HMAQFpzc3YBSB0mk8nZJcBBTCaT/Pz8nF0GHIR+Gw89z/zMFmuG/hJqAJkDQTCTGLzmJ/168Y6zywAAAE9RuoCnZnQIcnYZAEAQzCxOXbmjXy7ccnYZAAAAADIA7hEEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEU8np06edXQIAAAAApEiGCoIhISHy9/dXUFDQIz8HDhx4ZP2oqCj5+vqmeV3Lli3Tv//9b9t0aGio1q9fn+bbBQAAAIBn4ebsAuw1atQotW7d2tllJHP9+vVk0xs3bnRSJQAAAADw9zLUGcG/c/nyZfXs2VMVK1ZUgwYNtHv3btuy8+fPy9fXV+fPn7fNmzlzprp06WKbjoyMVNOmTRUUFKQmTZpo06ZNkqSEhARNnDhRTZo0UVBQkKpXr64xY8bIarXqq6++0ty5c3XgwAEFBwdLenDmcu3atZKk+Ph4TZo0SXXr1lXlypXVpUsXHTlyxLZNX19fLV26VI0aNVJQUJA6dOigY8eOpelxAgAAAGBsGe6M4NMMGDBAefLk0Y4dO3T79m316tUrxe+NiorSsGHDFBERodq1a2vXrl3q3bu3ypYtq23btmnnzp367LPPVKBAAR06dEidO3dWw4YN1apVK50/f1779u3T0qVLHxn3gw8+0NGjR7VkyRIVKlRIX3zxhbp166YNGzaocOHCkh6cQfz888+VNWtWhYeHa9KkSVqwYEGqHRcAAAAAeFiGC4KjRo3Shx9+mGxeoUKFNGfOHB04cEBbtmyRp6enPD091bdvX/Xp0ydF43799dd69dVXVbduXUlSnTp1tHz5chUsWFDt2rVTq1atlC9fPl2+fFnx8fHKkSOHLl269NQx7927pw0bNmjWrFkqXry4JKlr166KjIzUhg0b9Pbbb0uSunTpIi8vL0lSkyZNNHfuXLuOCQAAyFjMZvMjrx+eh8yNnhuLI/ttzzYyXBAcOXLkY+8RPHjwoCTZzrJJUrFixVI87uXLl+Xn55dsXkBAgCTp4sWLGj16tPbv3y9vb2/5+fnJarXKYrE8dcybN28qMTFRPj4+yeb7+Pgku0Q1f/78ttdubm6yWq0prhsAAGQ8x44dU1xcXLJ50dHRTqoGzkLPjSW99TvDBcEn8fb2liSdO3dOpUqVkvQgwCUxmUySpMTERNu8Gzdu2F4XKlRIFy5cSDbmwoULFRgYqE8++US5cuXSrl27lCVLFlksFlWuXPlva8qfP7+yZMmSrCZJOnv2rEJCQp5hLwEAQGbw8FPNzWazoqOj5e/vb/t7BZkbPTcWR/Y7aVspkWmCYOHChVWrVi2NHz9eU6ZMUUJCgiIiImzL8+XLp1y5cmnjxo3q06ePjh49qm+++cYW0Fq1aqXu3btr165dqlGjhnbv3q2ZM2fqyy+/VGxsrAoUKCBXV1fFxsYqIiJCsbGxtlCZJUsWxcbGymq1ysXFxbZNV1dXtWnTRlOnTlWJEiVs9wieOHFCU6ZMcewBAgAA6cbj/hg0mUyEAoOh58aS3vqd4Z4aOnLkyMd+j+C8efM0ZcoUvfDCC6pfv77atGmjGjVq2N7n4eGhMWPGaPPmzapYsaImTJigdu3a2ZZXqlRJEydO1MSJExUcHKxJkyZp6tSpKlOmjIYPH67ffvtNVapUUePGjRUbG6vatWvr+PHjkqT69evrzz//VKVKlXTr1q1k9b733nuqVauWunXrpqpVq2rz5s1asGCBSpQo4ZgDBgAAAAB/4WLlhrQMzWw26/Dhwxr3w10dPHfr798AAACcplzhnNoYXjvZvKT/Lw8MDExXZwuQdui5sTiy3/ZsK8OdEQQAAAAAPB+CIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQBAAAAACDIQgCAAAAgMEQBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQBAAAAACDcXN2AUgdJb1y6J7Z2VUAAICnKV3A09klAIAkgmCmMbFNBZlMJmeXAQAA/obZYpXJ1cXZZQAwOC4NzSTMZk4HGoXZbNbRo0fpuUHQb+Oh55kfIRBAekAQBDKguLg4Z5cAB6LfxkPPAQBpjSAIAAAAAAZDEAQAAAAAgyEIAgAAAIDBEAQBAAAAwGAIggAAAABgMARBIAPKli2bs0uAA9FvAACQ2vhC+UyCL5M3DpPJJD8/P2eXAQeh32mPL/cGABgRQTCTGLzmJ/168Y6zywCADKV0AU/N6BDk7DIAAHA4gmAmcerKHf1y4ZazywAAAACQAXCPIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQBAAAAACDIQgCAAAAgMEQBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQTCWnT592dgkAAAAAkCLpLgj+8ssvCg8PV7Vq1RQUFKRXXnlFEydO1J9//uns0p7o6NGjatq0qW16xIgRGjFihBMrAgAAAIAnS1dBcNu2berYsaNKlCihdevW6eDBg5ozZ47OnTunli1b6tKlS84u8bFu376txMRE2/To0aM1evRoJ1YEAAAAAE+WboJgQkKChg8frh49emjAgAEqWLCgXFxcVKpUKX388cfy9vbW+PHjJUmRkZFq2rSpgoKC1KRJE23atMk2zmeffaZXXnlFQUFBat26tfbu3StJGjJkiIYMGZJsm76+voqKipIkhYSEKCIiQo0aNVJQUJA6deqkEydO2NZdvXq1WrdurapVqyooKEg9evTQ9evXde7cOb311luSpKCgIB06dOiRba1atUqhoaGqWLGimjVrpvXr19uWdenSRVOmTFGnTp0euz8AAAAAkNrcnF1AkkOHDunq1atq2bLlI8tcXV0VFhamDz74QHv27NGwYcMUERGh2rVra9euXerdu7fKli2rI0eO6JNPPtGcOXNUoUIFrVmzRr169dL27dtTVMPKlSv16aefqkSJEvrwww/Vs2dPbd68Wb/++qvGjh2rJUuWKCAgQBcvXlTXrl21ZMkSvfPOO5o3b55ef/11HTp0yDZOkrVr12rChAmKiIhQlSpVtG/fPvXt21fZsmXTK6+8Ikn68ssvtWjRIpUuXVqzZs3SiBEj1KBBA2XJkuW5jysA4O+ZzWZnl2CTVEt6qglpi54bDz03Fkf2255tpJsgePnyZUlS/vz5H7u8QIECSkxMVGRkpF599VXVrVtXklSnTh0tX75cBQsW1FdffaX27dsrKChIktS2bVuVKlVKWbNmTVENb775pl5++WVJ0tChQxUcHKyDBw+qQoUK2rBhg3x8fHTz5k1dvnxZefPmTdGlqmvWrFH79u1VvXp1SVL16tXVvn17rVixwhYEGzVqJD8/P0lSq1atNGfOHF27dk2FCxdOUd0AgOdz7NgxxcXFObuMZKKjo51dAhyMnhsPPTeW9NbvdBMEvby8JEkXLlzQiy+++Mjy8+fPy93dXX/88Yf8/f2TLQsICJAkXbly5ZHwVLFixRTXULx4cdvrbNmyKXfu3Lpy5YpcXV21ZMkSRUZGKnv27PL19VVsbKysVuvfjnn16lUVLVo02TwfHx9t3brVNp2075Lk5vagJRaLJcV1AwCej6+vr7NLsDGbzYqOjpa/v79MJpOzy4ED0HPjoefG4sh+J20rJdJNEKxUqZK8vLy0evVqvfvuu8mWmc1mrV27ViEhIcqZM6cuXLiQbPnChQsVGBioQoUK6Y8//ki2bNq0aWrevLlcXV1179492/zr168/UsPDZ/ju3LmjGzduqFChQlq8eLF2796tyMhI2xnLnj17pmi/fHx8dPbs2WTzzp07lyz8AQCcKz3+IWYymdJlXUg79Nx46LmxpLd+p5uHxbi7u2v8+PH6/PPPNW3aNF26dEkWi0UnTpxQ3759dfHiRQ0dOlStWrXSf/7zH+3atUsWi0U7d+7UzJkz9cILL6h169ZauXKljhw5IovFojVr1mjZsmXKkyePSpUqpQMHDujSpUuKj4/XrFmz5OLikqyGRYsW6cyZM4qLi9P48eNVsmRJBQUFKTY2Vm5ubnJ3d9f9+/e1bt067dy50/ak0KR7+W7fvv3IfoWFhWnlypXau3evzGazfvjhB61cuVJt2rRJ+4MKAAAAAI+Rbs4ISlLt2rW1YsUKzZ07V23atFFsbKzy58+vBg0aaNy4ccqbN68KFSqkiRMnauLEiYqJiVGRIkU0depUlSlTRmXKlNGtW7f0r3/9S1euXFHp0qU1b9485c2bV+3bt1d0dLSaN28uDw8Pde3a9ZHLSCtVqqQ+ffrowoULqly5sj799FO5urrqjTfe0PHjx1W/fn1lyZJFfn5+6tixo3744QdJUtmyZVWpUiXVrl1bM2bMSDZmkyZNFBsbq7Fjx+rChQsqWLCg3nvvvcc+FAcAAAAAHMHFmpIb3QwgJCREffv2VevWrZ1dil3MZrMOHz6scT/c1cFzt5xdDgBkKOUK59TG8NrOLiOZpN/rgYGB6eoSIqQdem489NxYHNlve7aVbi4NBQAAAAA4BkEQAAAAAAwmXd0j6EwPf50DAAAAAGRmnBEEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwbg5uwCkjpJeOXTP7OwqACBjKV3A09klAADgFATBTGJimwoymUzOLgMAMhyzxSqTq4uzywAAwKG4NDSTMJs5HWgUZrNZR48epecGQb/THiEQAGBEBEEgA4qLi3N2CXAg+g0AAFIbQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIJABpQtWzZnlwAHot/GQ8+Nh54DcDS+UD6T4MvkjcNkMsnPz8/ZZcBB6Lfx0HPjoeeZg9li5XtJkaEQBDOJwWt+0q8X7zi7DAAAAMMpXcBTMzoEObsMwC4EwUzi1JU7+uXCLWeXAQAAACAD4B5BAAAAADAYgiAAAAAAGAxBEAAAAAAMhiAIAAAAAAZDEAQAAAAAgyEIAgAAAIDBEAQBAAAAwGAIggAAAABgMARBAAAAADAYgiAAAAAAGAxBEAAAAAAMhiD4jM6cOePsEgAAAADgmRAEn8HEiRM1e/Zs27Svr6+ioqJSbfyQkBCtXbs21cYDAAAAgIcRBJ/BjRs3nF0CAAAAADwzwwTB8+fPy9fXV19//bXq16+vwMBADR06VAcOHFDz5s0VFBSkrl276vr167JarVqyZIkaNWqk4OBgdezYUT///LMkadasWYqMjFRkZKSaN29uG3/37t1q0aKFgoKCFBYWpuPHj9uWHThwQJ06dVJwcLBCQkI0ffp0JSQkSJKsVqvmzJmjWrVqKTg4WBMnTpTZbHbswQEAAABgKG7OLsDR/vvf/2rTpk06d+6cWrZsqaNHj2revHlyd3dXhw4dtHz5cuXJk0eLFi3S7NmzVapUKa1bt07du3fX5s2b1adPH507d06SNGHCBNu4+/bt04IFC+Tp6al+/fpp4sSJWrBggU6dOqXu3bvr3Xff1aJFi/THH3+oX79+io2N1fDhw7VmzRp99tlnmj9/vsqUKaOIiAhdvHjRWYcHAAAAzyil/zE/aT3+478xOLLf9mzDcEHwjTfeULZs2VS2bFl5eXmpVatWKliwoCQpMDBQMTEx2rRpk3r06KGXXnpJkhQWFqbVq1dr/fr1euONNx47bvfu3ZU/f35JUsOGDTV//nxJUmRkpHx9fdW1a1dJUvHixTVo0CCFh4dr2LBhWrdundq1a6dy5cpJkvr3768vv/wyTY8BAAAAUt+xY8cUFxeX4vWjo6PTsBqkN+mt34YLgrlz57a9NplMypkzp23a1dVVVqtVMTExmjhxoiZPnmxbdv/+fZUvXz5F47q7u9vS+LVr11S0aNFk6/r4+Cg+Pl7Xrl3T5cuXVahQoWQ1FS5c+Fl3DwAAAE7i6+ubovXMZrOio6Pl7+8vk8mUxlXB2RzZ76RtpYThgqCLi8vfruPt7a3w8HCFhoba5p09ezZZ2EupIkWK6Ntvv0027+zZs/Lw8FCuXLnk7e1tu9RUenDP4OXLl+3eDgAAAJzL3j/yTSYTQdBA0lu/DfOwGHu0a9dOs2fP1smTJyVJO3fuVGhoqPbv3y9J8vDw0O3bt1M0VmhoqE6ePKnPPvtMCQkJOnv2rKZOnapmzZrJw8NDbdu21ZdffqlDhw4pMTFRs2fP1pUrV9Js3wAAAADAcGcEU6Jbt26yWq3q3bu3Ll++rIIFC2rEiBFq0KCBJOm1117TgAEDVK9ePW3fvv2pY/n4+Gj+/PmaOnWqZs6cqaxZs6pp06Z65513JElNmzbVjRs3NGDAAN28eVONGzdO8WUFAAAAAPAsXKxWq9XZReDZmc1mHT58WON+uKuD5245uxwAAADDKVc4pzaG107x+kl/vwUGBqarSwWRNhzZb3u2xaWhAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAyGIAgAAAAABkMQBAAAAACDIQgCAAAAgMEQBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCIAAAAAAYDEEQAAAAAAzGzdkFIHWU9Mqhe2ZnVwEAAGA8pQt4OrsEwG4EwUxiYpsKMplMzi4DAADAkMwWq0yuLs4uA0gxLg3NJMxmTgcahdls1tGjR+m5QdBv46HnxkPPMwdCIDIagiCQAcXFxTm7BDgQ/TYeem489ByAoxEEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBg3JxdAJ6P1WqVJJnNZpnNZidXA0dI6jP9Ngb6bTz03HjoufHQc2NxZL+TtpGUEZ7GxZqStZBuJSQkKDo62tllAAAAAEgn/P395eHh8dR1CIIZnMVi0f379+Xq6ioXFxdnlwMAAADASaxWqywWi9zc3OTq+vS7AAmCAAAAAGAwPCwGAAAAAAyGIAgAAAAABkMQBAAAAACDIQgCAAAAgMEQBAEAAADAYAiCAAAAAGAwBEEAAAAAMBiCYAZw7do19e7dW8HBwapatarGjRun+/fvP3bd//73v2rWrJkCAwPVpEkTbdu2zcHVIjXY0/MkW7ZsUYMGDRxUIVKTPf3+4osv1KhRIwUFBalRo0ZatmyZg6tFakhpzy0Wi2bOnKm6desqKChIzZo106ZNm5xQMZ7Xs/xeP378uCpUqKCoqCgHVYnUYk+///nPf8rf319BQUG2nx07dji4Yjwve3q+b98+tW3bVkFBQapbt67mzp3r4Gr/PyvSvc6dO1sHDRpkvXv3rvXs2bPW0NBQ67x58x5Z73//+5/V39/f+p///MeamJho3bhxozUgIMB68eJFJ1SN55HSnlutVmtCQoL1008/tfr5+Vnr16/v4EqRGlLa7//85z/W4OBg66FDh6wWi8V68OBBa3BwsPWbb75xQtV4Hint+ZIlS6whISHWM2fOWK1Wq3Xr1q3Wl156yTaNjMOe3+tWq9V69+5da9OmTa1ly5a1/vDDDw6sFKnBnn5XrVrVGhUV5eAKkdpS2vMTJ05YK1SoYF27dq3VYrFYf/31V2uVKlWsmzdvdnjNBMF07vTp09ayZcsmC3MbN2601qtX75F1p06dau3evXuyeW+++aZ1xowZaV4nUo89PbdaH/ziefPNN63Tpk0jCGZA9vT7888/t86dOzfZvD59+ljHjBmT5nUi9djTc7PZbL1z547VarVa7927Z129erU1KCjIeunSJYfVi+dn7+91q9VqHTx4sHX69OkEwQzInn6fPXvW+tJLL1lv377tyBKRyuzp+ejRo60DBw5MNu/UqVPWy5cvp3mdf8Wloenc77//rty5c6tgwYK2eaVKldKFCxd069atZOueOHFCZcuWTTavdOnS+u233xxSK1KHPT2XpI8++kjz589XsWLFHFkmUok9/e7UqZPefvtt2/S1a9e0f/9+lS9f3mH14vnZ03NXV1dlz55du3btUoUKFfT++++rf//+KlCggKPLxnOw9/f6119/rTNnzqhv376OLBOpxJ5+R0dHK0eOHBowYICqVaumpk2bavXq1Y4uGc/Jnp4fOXJEPj4+GjhwoKpWraomTZpo37598vLycnTZcnP4FmGXO3fuKFu2bMnmJU3fvXtXOXPmfOq6WbNm1d27d9O+UKQae3ouSd7e3g6rDanP3n4nuXLlinr06KHy5curadOmaV4nUs+z9LxKlSqKjo7W/v371bt3b3l5eem1115zSL14fvb0/OTJk5o2bZq++OILmUwmh9aJ1GFPvxMSEhQYGKgBAwaoTJkyioqKUr9+/ZQjRw41adLEoXXj2dnT85s3b2rJkiWaNm2aJk2apEOHDqlHjx7KlSuXGjdu7NC6OSOYzmXPnl1xcXHJ5iVN58iRI9n8bNmyKT4+Ptm8+Pj4R9ZD+mZPz5HxPUu/Dx8+rLCwMJUoUUKzZ8+Wmxv/TS8jeZaee3h4yM3NTdWrV1eLFi0UGRmZ5nUi9aS05/fu3dOAAQM0bNgwFS5c2KE1IvXY82+8ZcuWmj9/vvz8/OTu7q5atWqpZcuW2rx5s8PqxfOzp+ceHh5q0KCB6tWrJzc3N1WuXFktWrRwSs8JgulcmTJl9Oeff+rq1au2eSdPnpS3t7deeOGFZOuWLVtWv//+e7J5J06cUJkyZRxSK1KHPT1Hxmdvv1evXq1u3bqpa9eumjJlijw8PBxZLlKBPT2fMGGCJkyYkGxeQkKCcufO7YhSkUpS2vPo6GidPn1a77//voKDgxUcHCxJ6tmzpz744ANHl41nZM+/8dWrVz8SABISEpQlSxaH1IrUYU/PS5UqpYSEhGTzzGazrFarQ2p9GEEwnXvxxRdVqVIlffjhh4qNjdW5c+f0ySefKCws7JF1mzdvrn379mnTpk26f/++Nm3apH379qlFixZOqBzPyp6eI+Ozp99btmzRBx98oJkzZ+qNN95wQrVIDfb0PDg4WCtWrND+/ftlsVi0detWbdq0SW3btnVC5XhWKe15cHCwjhw5ogMHDth+JGnOnDkEwQzEnn/jsbGxGjNmjI4ePSqLxaLt27drw4YNat++vRMqx7Oyp+cdOnTQ999/r3Xr1slqtWr//v2KjIx0zt/rDn88Dex25coVa79+/axVqlSxVqtWzTphwgTr/fv3rVar1RoYGGhdt26dbd0dO3ZYmzdvbg0MDLSGhoZat2/f7qyy8Rzs6XmSNWvW8NTQDCql/W7atKn1pZdesgYGBib7+fe//+3M8vEM7Pk3vmrVKuurr75qrVixorV169bWHTt2OKtsPIdn+b1utVp5amgGldJ+WywW66xZs6z169e3BgQEWENDQ53yNQJ4fvb8G9++fbu1devW1qCgIGuDBg2sX3zxhVNqdrFanXAeEgAAAADgNFwaCgAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwGIIgAAAAABgMQRAAgGd0+/ZtXb9+3dllOMW9e/d08eJFZ5cBAHhGBEEAQKYVEhIif39/BQUFJft54403UmX8V155Rb///nuqjJUSvr6+ioqKctj2nqZjx47as2ePs8sAADwjN2cXAABAWho1apRat26dJmPfuHEjTcbNCIy87wCQGRAEAQCGlZCQoNmzZ2v9+vW6ffu2KlSooOHDh6t48eKSpIMHD2r69Ok6deqUbt68qTJlymjEiBEKDAxUo0aNJElvvfWW+vXrp3z58ikiIkJbt261jd+lSxdVqVJF/fr105AhQ3T37l39/vvvunHjhr788ktlz55dEyZM0N69e+Xi4qKQkBC999578vT0/NvahwwZouzZsysmJkb79u1T/vz5NXr0aH333Xdav369PDw89M4776ht27Y6f/68GjRooOHDh2vOnDmKj49XSEiIRo4cadvWqlWrtHjxYv3xxx8qUqSI3nrrLTVv3ty2H0WKFFFUVJSsVquKFi2qCxcuaOTIkfr55581YsQIrV69WsuXL1dMTIwSEhJUpUoVjR8/Xnnz5tXMmTP1+++/y8PDQ9u3b1f27NnVokULDRo0SJJ09+5dTZ48WZs3b1ZiYqKCgoL0wQcfqEiRIoqNjdXUqVP1/fffKyEhQdWqVdP777+v/Pnzp+pnAQCMhktDAQCGNW3aNG3fvl2LFy/Wzp07VaFCBb3xxhu6d++e4uPj1atXLzVq1Eg7duxQVFSUihUrpkmTJkmStmzZIkmaN2+e3nrrrRRtb+fOnZoxY4a+/fZb+fj4qHfv3nJ1ddWWLVsUGRmpy5cva8SIESmuf82aNXrrrbf0448/KiAgQG+++aZefPFF7d27Vz169NDo0aOVkJBgW//bb79VZGSkvvnmG505c0ajRo2SJK1du1YTJkzQ8OHDtX//fg0bNkyjRo3Sf/7zH9t79+zZoxUrVmj9+vVaunSpChcurFGjRmnEiBE6cuSIxo4dqw8++EBRUVHavHmzTp8+rSVLliTbdq1atRQVFaUxY8Zo3rx5Onz4sCRp9OjRio6O1tq1a7Vnzx7lz59fAwcOlCQNGzZMZ86c0dq1a/Xdd9/J09NTffv2ldVqTfFxAgA8iiAIAMjURo0apeDg4GQ/d+/eldVq1YoVKzRw4EAVLVpUWbJkUZ8+fZSYmKjt27fL3d1dK1euVMeOHZWQkKCYmBjlzp1bly5deuZaAgMDVbZsWeXMmVM///yzfvnlF9tZuTx58mjw4MHauHFjii+7rFatmoKDg+Xq6qpq1aope/bs6tKli9zc3FS/fn0lJCTo6tWrtvWHDh2qvHnzysvLS+Hh4frmm2+UkJCgNWvWqH379qpevbpMJpOqV6+u9u3ba8WKFbb31qlTRwULFlTOnDkfqaNs2bLasGGDAgICdPPmTV2+fFl58+ZNdqxefPFFtWzZUiaTSXXr1pWXl5dOnz6thIQEbdy4Uf3791ehQoXk4eGhoUOHavjw4bp27Zq2bNmi999/X/ny5VOOHDk0bNgwRUdH65dffnnmPgAAuDQUAJDJjRw58rH3CF67dk13795V//795er6f/9dNDExUTExMTKZTIqKitJbb72lu3fvqnTp0nJzc3uuM1EFChSwvT5//rzMZrPq1q2bbB0PDw+dO3dOefLk+dvxcufObXttMpmShTQXFxdJksVisc1LuuRVkgoVKqSEhAT9+eefunr1qooWLZpsbB8fn2SXuT5c+1+5urpqyZIlioyMVPbs2eXr66vY2Nhkx8rLyyvZe9zd3WWxWHTz5k0lJCSocOHCtmU5c+aUv7+/jhw5Iklq165dsveaTCadP39e5cuXf2JNAICnIwgCAAwpT548ypIlixYuXKjAwEDb/FOnTqlgwYL66aefNGbMGK1YscIWOBYuXKj//e9/jx3P1dU12WWY0qMPVEkKZ5Lk7e2trFmzKioqSiaTSdKDexbPnTuXLLA9zcPjpcSlS5dUsmRJSQ+CaLZs2ZQnTx75+Pjo7NmzydY9d+5csvD2tG0tXrxYu3fvVmRkpO3evZ49e6aopnz58snDw0N//PGHrbZr165p3rx56t69uyRp8+bNyWo5ceLEI8EVAGAfLg0FABiSq6urwsLCNGXKFF28eFEWi0VfffWVmjZtqjNnzuj27dtydXVV1qxZJUmHDx/WkiVLkoU9Dw8P3b59W5JUqlQpXb16VT/88IOsVqvWrVunkydPPnH7AQEBKl68uCZMmKA7d+4oPj5eH374obp16yaz2Zwm+zxlyhTFxsbq0qVL+vjjj9WiRQu5u7srLCxMK1eu1N69e2U2m/XDDz9o5cqVatOmzRPHenjfY2Nj5ebmJnd3d92/f1/r1q3Tzp07lZiY+Lc1ubq6qmXLlpo5c6YuXbqke/fuafr06Tp8+LAKFiyoevXqady4cbpx44YSExM1e/ZshYWF6datW6l2XADAiDgjCAAwrMGDB2vmzJnq2LGj/vzzTxUtWlQff/yx/Pz8ZLVa1bFjR3Xq1EkWi0U+Pj7q0qWLpkyZoqtXryp//vxq3769Bg0apG7dumnAgAHq1auXhgwZojt37qhhw4a2J4s+jpubm+bOnauJEyfq1Vdf1b179xQQEKBFixYpS5YsabK/xYoVU9OmTRUXF6dmzZrpX//6lySpSZMmio2N1dixY3XhwgUVLFhQ7733nlq2bPnEscLCwjRt2jRFR0dr+PDhOn78uOrXr68sWbLIz89PHTt21A8//JCiuoYMGaJp06apbdu2io+PV5UqVTRjxgxJ0qRJkzRlyhS1bNlSsbGxKlOmjObPn//IpaYAAPu4WHnsFgAAmVrS10d8//338vHxcXY5AIB0gEtDAQAAAMBgCIIAAAAAYDBcGgoAAAAABsMZQQAAAAAwGIIgAAAAABgMQRAAAAAADIYgCAAAAAAGQxAEAAAAAIMhCAIAAACAwRAEAQAAAMBgCIIAAAAAYDAEQQAAAAAwmP8HVk2vynXvhggAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-07-14T14:40:28.453117Z",
     "start_time": "2024-07-14T14:40:28.447045Z"
    }
   },
   "cell_type": "code",
   "source": [
    "#选择特征进行聚类\n",
    "features = df[[  'Sex', 'Education', 'method']]\n"
   ],
   "id": "1cec60878465990a",
   "outputs": [],
   "execution_count": 24
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "956bfe4d4d76a044"
  },
  {
   "cell_type": "code",
   "source": [
    "#使用肘部法确定K值\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "inertia = []\n",
    "k_range = range(1, 11)\n",
    "\n",
    "for k in k_range:\n",
    "    kmeans = KMeans(n_clusters=k, random_state=42)\n",
    "    kmeans.fit(features)\n",
    "    inertia.append(kmeans.inertia_)\n",
    "\n",
    "plt.plot(k_range, inertia, 'bx-')\n",
    "plt.xlabel('Number of clusters')\n",
    "plt.ylabel('Inertia')\n",
    "plt.title('Elbow Method For Optimal k')\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-14T14:40:30.250953Z",
     "start_time": "2024-07-14T14:40:30.037694Z"
    }
   },
   "id": "f7f72a9c23b9a4c4",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 25
  },
  {
   "cell_type": "code",
   "source": [
    "#应用k-means聚类\n",
    "optimal_k = 3  # 假设通过肘部法确定最佳 k 值为 3\n",
    "kmeans = KMeans(n_clusters=optimal_k, random_state=42)\n",
    "clusters = kmeans.fit_predict(features)\n",
    "\n",
    "# 将聚类结果添加到原数据集中\n",
    "df['Cluster'] = clusters\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-14T14:40:32.667265Z",
     "start_time": "2024-07-14T14:40:32.659490Z"
    }
   },
   "id": "368a16f42e524c7f",
   "outputs": [],
   "execution_count": 26
  },
  {
   "cell_type": "code",
   "source": [
    "#评估最终结果\n",
    "# 查看簇中心\n",
    "cluster_centers = kmeans.cluster_centers_\n",
    "print(cluster_centers)\n",
    "\n",
    "# 查看每个簇的样本数量\n",
    "print(df['Cluster'].value_counts())\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-14T14:40:34.106039Z",
     "start_time": "2024-07-14T14:40:34.100799Z"
    }
   },
   "id": "620f65b9d017f622",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.46114865 0.01266892 5.97466216]\n",
      " [0.45949074 2.69907407 5.98148148]\n",
      " [0.57361377 1.9789675  1.95219885]]\n",
      "Cluster\n",
      "0    1184\n",
      "1     864\n",
      "2     523\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "execution_count": 27
  },
  {
   "cell_type": "code",
   "source": [
    "#尝试 二维可视化\n",
    "from sklearn.decomposition import PCA\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 使用 PCA 将数据降维到二维\n",
    "pca = PCA(n_components=2)\n",
    "reduced_features = pca.fit_transform(features)\n",
    "\n",
    "# 可视化聚类结果\n",
    "plt.figure(figsize=(10, 7))\n",
    "plt.scatter(reduced_features[:, 0], reduced_features[:, 1], c=clusters, cmap='viridis')\n",
    "plt.title('K-means Clustering Results (PCA Reduced)')\n",
    "plt.xlabel('Principal Component 1')\n",
    "plt.ylabel('Principal Component 2')\n",
    "plt.colorbar(label='Cluster')\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-14T14:40:36.738762Z",
     "start_time": "2024-07-14T14:40:36.437501Z"
    }
   },
   "id": "11ed01f9d563ea28",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x700 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 28
  },
  {
   "cell_type": "code",
   "source": [
    "#簇中心解释\n",
    "import numpy as np\n",
    "import math\n",
    "# 获取原始特征的列名\n",
    "feature_names = features.columns\n",
    "\n",
    "# 将簇中心反变换到原始尺度\n",
    "cluster_centers_original_scale = scaler.inverse_transform(kmeans.cluster_centers_[:, -3:])\n",
    "\n",
    "# 打印每个簇的中心\n",
    "for i, center in enumerate(cluster_centers):\n",
    "    print(f'Cluster {i}:')\n",
    "    for j, value in enumerate(center):\n",
    "        #print(mapping[feature_names[j]].keys())\n",
    "        print(f'{feature_names[j]}: {value:.2f}')\n",
    "        #print('\\n')\n",
    "        encoded_value =round(value)\n",
    "        print(f\"The original value corresponding to {encoded_value} is {mapping[feature_names[j]][encoded_value]}\\n\")\n",
    "    print('\\n') \n",
    "\n",
    "# 打印反变换后的簇中心\n",
    "for i, center in enumerate(cluster_centers_original_scale):\n",
    "    print(f'Cluster {i} (Original Scale):')\n",
    "    for j, value in enumerate(center):\n",
    "        print(f'{numerical_columns[j]}: {value:.2f}')\n",
    "    print('\\n')\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-14T15:36:59.230416Z",
     "start_time": "2024-07-14T15:36:59.224295Z"
    }
   },
   "id": "82fcb1cb1efa2df1",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cluster 0:\n",
      "Sex: 0.46\n",
      "The original value corresponding to 0 is female\n",
      "\n",
      "Education: 0.01\n",
      "The original value corresponding to 0 is Secondary\n",
      "\n",
      "method: 5.97\n",
      "The original value corresponding to 6 is Pesticide\n",
      "\n",
      "\n",
      "\n",
      "Cluster 1:\n",
      "Sex: 0.46\n",
      "The original value corresponding to 0 is female\n",
      "\n",
      "Education: 2.70\n",
      "The original value corresponding to 3 is primary\n",
      "\n",
      "method: 5.98\n",
      "The original value corresponding to 6 is Pesticide\n",
      "\n",
      "\n",
      "\n",
      "Cluster 2:\n",
      "Sex: 0.57\n",
      "The original value corresponding to 1 is male\n",
      "\n",
      "Education: 1.98\n",
      "The original value corresponding to 2 is iliterate\n",
      "\n",
      "method: 1.95\n",
      "The original value corresponding to 2 is Hanging\n",
      "\n",
      "\n",
      "\n",
      "Cluster 0 (Original Scale):\n",
      "Age: 61.75\n",
      "Year: 2010.06\n",
      "Month: 25.43\n",
      "\n",
      "\n",
      "Cluster 1 (Original Scale):\n",
      "Age: 61.72\n",
      "Year: 2012.18\n",
      "Month: 25.45\n",
      "\n",
      "\n",
      "Cluster 2 (Original Scale):\n",
      "Age: 63.98\n",
      "Year: 2011.61\n",
      "Month: 12.55\n",
      "\n",
      "\n"
     ]
    }
   ],
   "execution_count": 45
  },
  {
   "cell_type": "code",
   "source": [
    "#簇分布可视化\n",
    "import seaborn as sns\n",
    "\n",
    "# 查看每个簇中样本的数量分布\n",
    "cluster_counts = df['Cluster'].value_counts().sort_index()\n",
    "\n",
    "plt.figure(figsize=(10, 7))\n",
    "sns.barplot(x=cluster_counts.index, y=cluster_counts.values, palette='viridis')\n",
    "plt.title('Cluster Counts')\n",
    "plt.xlabel('Cluster')\n",
    "plt.ylabel('Number of Samples')\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-14T14:19:19.279303Z",
     "start_time": "2024-07-14T14:19:19.110085Z"
    }
   },
   "id": "9799edb491010ea",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\WPP-JKW\\AppData\\Local\\Temp\\ipykernel_22304\\4105332043.py:8: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x=cluster_counts.index, y=cluster_counts.values, palette='viridis')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 10
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "#check the methods\n",
   "id": "4aef07c3339eb150"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
